- AI has become the biggest reason companies give for cutting jobs in 2026.
- Tech, finance and payments firms are cutting jobs as AI spending rises.
- Companies are cutting some roles while hiring more AI specialists instead.
Artificial intelligence has become the leading reason companies cite for job cuts in 2026 as businesses accelerate investment in automation. Technology companies have led the trend, while finance, consulting, logistics and payments firms have also reduced staff as they redirect spending toward AI.
The trend accelerated during the first half of the year. Challenger, Gray & Christmas reported that U.S. employers announced more than 97,000 job cuts in May alone. Nearly 40% of those layoffs cited AI as the primary reason.
Chief Revenue Officer Andy Challenger said, “AI is now the leading reason companies give for cutting jobs.” Layoffs attributed primarily to AI reached 87,714 during the first five months of 2026, already surpassing the total recorded for all of 2025.
AI Restructuring Reaches Major Global Companies
The figures are increasingly reflected in corporate restructuring announcements across the technology and financial sectors. The list of companies linking layoffs to artificial intelligence continues to expand as businesses reorganize around automation. Software company Monday.com cut about 600 employees, or roughly 20% of its workforce, describing the move as part of an “AI-driven growth strategy.”
Some of the biggest technology companies are also shrinking their workforces while investing billions of dollars in AI. Microsoft eliminated about 4,800 jobs, mainly in its Xbox gaming division. The company has said AI is changing how work gets done, although it stopped short of saying the technology directly replaced those employees.
Amazon has also reduced tens of thousands of jobs through several restructuring rounds, pointing to automation, AI adoption and a leaner management structure as key reasons for the cuts.
The trend extends beyond the largest tech firms. Oracle has reportedly carried out broad workforce reductions as it pushes for greater AI efficiency, while Atlassian cut about 1,600 employees in March, saying the restructuring would prepare the company for the “AI era.” Cloudflare eliminated roughly 1,100 jobs after its chief executive said AI had made some roles unnecessary, and Coinbase reduced around 700 positions as it shifted toward a more AI-native operating model.
Payment companies are making similar changes. Block cut about 4,000 jobs as its leadership said AI tools are reshaping how the business operates. Visa also announced plans to eliminate roughly 2,600 positions, mainly across technology and product teams, as it reorganizes around AI.
Visa Chief Executive Ryan McInerney said the company must continue changing how it operates to stay ahead. “To capture the opportunities ahead and best position Visa to lead this transformation, we must continue evolving how we work,” he wrote. “AI is also helping to accelerate this evolution and shape the way work gets done at Visa.”
The wave of AI-driven restructuring has spread well beyond the technology sector. Companies including Accenture, Dell, Citigroup, WiseTech, Autodesk, Cisco, Baker McKenzie and Dow have also announced workforce reductions as they invest more heavily in AI and automation.
Will the AI Layoff Trend Continue?
Companies continue reshaping their workforces as they spend billions of dollars on AI infrastructure and face growing pressure to generate returns on those investments. Even so, economists and labor experts say the technology is unlikely to trigger widespread job losses across the economy in the near term.
Daniel Keum, an associate professor at Columbia Business School, said AI’s impact on employment remains concentrated in a handful of industries, particularly technology, while the broader labor market has so far remained resilient despite ongoing restructuring.
At the same time, many employers are expanding recruitment for AI engineers, researchers and implementation specialists, reflecting a shift in hiring priorities rather than a broad freeze in employment. Instead of eliminating jobs across the board, many companies are replacing some roles while creating new ones focused on building, deploying and managing AI systems.
Could Slower AI Spending Change Hiring?
A slowdown in AI investment would likely hit startups and companies that have relied most heavily on speculative AI spending before affecting larger technology firms. Even so, a slowdown in investment would be unlikely to halt broader AI adoption, as many businesses have already made AI a core part of their long-term strategy.
Companies may instead scale back some automation projects while increasing hiring for roles that require people to oversee, integrate and manage AI systems. That would shift demand toward workers with AI-related skills rather than reverse the broader adoption of the technology.
Gartner expects some AI-related workforce reductions to reverse by 2027 as companies gain a better understanding of the technology’s limits. The research firm says some organizations are likely to rebuild teams after cutting too deeply, reflecting a more balanced approach in which AI handles routine tasks while employees focus on work that requires human judgment.
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